Maheedhar Kolla

1.2k total citations · 1 hit paper
12 papers, 648 citations indexed

About

Maheedhar Kolla is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Maheedhar Kolla has authored 12 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Molecular Biology. Recurrent topics in Maheedhar Kolla's work include Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (3 papers) and Advanced Text Analysis Techniques (3 papers). Maheedhar Kolla is often cited by papers focused on Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (3 papers) and Advanced Text Analysis Techniques (3 papers). Maheedhar Kolla collaborates with scholars based in Canada. Maheedhar Kolla's co-authors include Olga Vechtomova, Charles L. A. Clarke, Gordon V. Cormack, Stefan Büttcher, Azin Ashkan, Yllias Chali and Yan Fossat and has published in prestigious journals such as Theory and applications of categories, International Joint Conference on Artificial Intelligence and Text REtrieval Conference.

In The Last Decade

Maheedhar Kolla

10 papers receiving 611 citations

Hit Papers

Novelty and diversity in information retrieval evaluation 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maheedhar Kolla Canada 5 465 300 138 107 76 12 648
Vito Claudio Ostuni Italy 9 416 0.9× 384 1.3× 114 0.8× 61 0.6× 59 0.8× 14 622
Gordon Sun United States 12 301 0.6× 422 1.4× 124 0.9× 77 0.7× 39 0.5× 18 614
Kenji Hatano Japan 8 417 0.9× 269 0.9× 94 0.7× 108 1.0× 129 1.7× 41 618
Ciya Liao United States 8 318 0.7× 245 0.8× 111 0.8× 77 0.7× 58 0.8× 17 453
Bottyán Németh Hungary 6 466 1.0× 268 0.9× 222 1.6× 52 0.5× 86 1.1× 10 617
Martha Larson Netherlands 11 248 0.5× 303 1.0× 170 1.2× 82 0.8× 34 0.4× 38 546
Ilya Markov Netherlands 12 366 0.8× 256 0.9× 118 0.9× 34 0.3× 58 0.8× 31 533
Hema Raghavan United States 16 244 0.5× 486 1.6× 95 0.7× 64 0.6× 42 0.6× 27 670
Van Dang United States 7 317 0.7× 265 0.9× 90 0.7× 72 0.7× 50 0.7× 10 457

Countries citing papers authored by Maheedhar Kolla

Since Specialization
Citations

This map shows the geographic impact of Maheedhar Kolla's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maheedhar Kolla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maheedhar Kolla more than expected).

Fields of papers citing papers by Maheedhar Kolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maheedhar Kolla. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maheedhar Kolla. The network helps show where Maheedhar Kolla may publish in the future.

Co-authorship network of co-authors of Maheedhar Kolla

This figure shows the co-authorship network connecting the top 25 collaborators of Maheedhar Kolla. A scholar is included among the top collaborators of Maheedhar Kolla based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maheedhar Kolla. Maheedhar Kolla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Kolla, Maheedhar, et al.. (2018). Predicting Glycemia in Type 1 Diabetes Patients: Experiments with XG-Boost.. International Joint Conference on Artificial Intelligence. 79–84. 24 indexed citations
2.
Kolla, Maheedhar, et al.. (2018). KlickLabs at the TAC 2018 Drug-drug Interaction Extraction from Drug Labels Track.. Theory and applications of categories. 2 indexed citations
3.
Kolla, Maheedhar, et al.. (2018). Klick Labs at CL-SciSumm 2018.. International ACM SIGIR Conference on Research and Development in Information Retrieval. 134–141. 4 indexed citations
4.
Kolla, Maheedhar, et al.. (2018). KlickLabs at TREC 2018 Precision Medicine track.. Text REtrieval Conference. 2 indexed citations
5.
Clarke, Charles L. A., et al.. (2010). Towards a collection-based results diversification. 202–205. 2 indexed citations
6.
Clarke, Charles L. A., Maheedhar Kolla, Gordon V. Cormack, et al.. (2008). Novelty and diversity in information retrieval evaluation. 659–666. 595 indexed citations breakdown →
7.
Kolla, Maheedhar & Olga Vechtomova. (2007). Enterprise Search: Identifying Relevant Sentences and using them for Query Expansion. Text REtrieval Conference.
8.
Kolla, Maheedhar & Olga Vechtomova. (2007). Retrieval of discussions from enterprise mailing lists. 881–882. 4 indexed citations
9.
Kolla, Maheedhar & Olga Vechtomova. (2006). In Enterprise Search: Methods to Identify Argumentative Discussions and to Find Topical Experts.. Text REtrieval Conference. 2 indexed citations
10.
Vechtomova, Olga, et al.. (2005). Experiments for HARD and Enterprise Tracks.. Text REtrieval Conference. 27(10). 105204–105204. 3 indexed citations
11.
Kolla, Maheedhar & Yllias Chali. (2005). Experiments in DUC 2005. 1 indexed citations
12.
Chali, Yllias & Maheedhar Kolla. (2004). Summarization Techniques at DUC 2004. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026