Shubhanshu is a 5th year Ph.D. student at the iSchool, University of Illinois at Urbana-Champaign. His research involves using large scale data mining and machine learning solutions, to study the temporal evolution of science. He ongoing research work is focused on studying topical novelty of scientific articles, measuring relative topical expertise of authors on an article, and studying factors which affect the self-citation practices by authors. He finished his Integrated Bachelor’s and Master’s degree in Mathematics and Computing from the Indian Institute of Technology, Kharagpur in 2012. He was a fellow of Kishor Vaigyanik Protsahan Yojana (KVPY), a scholarship program funded by the Department of Science and Technology of the Government of India, from 2007 to 2012.

He is currently working as a Research Assistant with Jana Diesner and Vetle Torvik.

… no models are [true]—not even the Newtonian laws. When you construct a model you leave out all the details which you, with the knowledge at your disposal, consider inessential…. Models should not be true, but it is important that they are applicable, and whether they are applicable for any given purpose must of course be investigated. This also means that a model is never accepted finally, only on trial.

Georg Rasch in Probabilistic Models for Some Intelligence and Attainment Tests

PhD Tracker

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Jana Diesner

Vetle Torvik





Shubhanshu Mishra is a 4th year PhD student at the iSchool of University of Illinois at Urbana-Champaign. He is currently working as a Research Assistant with Jana Diesner and Vetle Torvik. He is working on projects at the intersection of Machine Learning, Text Network Analysis and Scholarly Data Mining.

He completed his integrated bachelors and masters in Mathematics and Computing from the Indian Institute of Technology, Kharagpur (IIT Kharagpur) in 2012. During his undergraduate he was a fellow of the Kishore Vaigyanik Protsahan Yojana, a prestigious fellowship for science students in India. His master thesis was on "Analysis of Social Media Data to identify Positive and Negatively influential people".[PPT]

Shubhanshu has been an active programmer and software developer for the last 8 years. He has acquired work experience as a software developer at leading companies like Citrix and Barclays Capital. He also worked as a research intern at the Institute of Systems Science, National University of Singapore with Gloria Ng on Tagging-Singapore, a maps based mashup of Singapore tourism data.

He enjoys learning through online courses, programming and flying his quad copters, and playing with Machine Learning methods. He has recently developed an interest in deep learning. You can see some of his projects on his Github page.

Apart from technology, Shubhanshu likes being involved in volunteering opportunities and has volunteered at the Chicago Public Library. In IIT Kharagpur he was the President of the local chapter of AIESEC, the world's largest youth run not for profit organization. In his free time he loves updating his blog and writing poetry.


My previous works/slides at: Slideshare


Online courses taken by me at: Coursera

Scholarly presence

ORCID,Publons, Google Scholar, Microsoft Academic Search, and Semantic Scholar


Code written by me at: Github


Professional Experiences: LinkedIn