Maheedhar Kolla
- Information Systems top 1%
- Information Retrieval and Search Behavior 2
- Expert finding and Q&A systems 2
- Signal Processing top 5%
- Artificial Intelligence top 5%
- Topic Modeling 6
- Advanced Text Analysis Techniques 3
- Natural Language Processing Techniques 3
- Semantic Web and Ontologies 2
- Computer Science Applications top 10%
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- Biomedical Text Mining and Ontologies 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Co-authors
- Olga VechtomovaCharles L. A. ClarkeGordon V. CormackStefan BüttcherAzin AshkanYllias ChaliYan Fossat
- Partner nations
- Canada
In The Last Decade
Maheedhar Kolla
10 papers receiving 611 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Information Systems 465
- Signal Processing 107
- Artificial Intelligence 300
- Computer Science Applications 40
- Computer Vision and Pattern Recognition 138
Countries citing papers authored by Maheedhar Kolla
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
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
The 7 scholars most cited alongside Maheedhar Kolla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Predicting Glycemia in Type 1 Diabetes Patients: Experiments with XG-Boost. | 2018 | 24 |
| 2 | KlickLabs at the TAC 2018 Drug-drug Interaction Extraction from Drug Labels Track. | 2018 | 2 |
| 3 | Klick Labs at CL-SciSumm 2018. | 2018 | 4 |
| 4 | KlickLabs at TREC 2018 Precision Medicine track. | 2018 | 2 |
| 5 | 2010 | 2 | |
| 6 | Novelty and diversity in information retrieval evaluationbreakdown → | 2008 | 595 |
| 7 | Enterprise Search: Identifying Relevant Sentences and using them for Query Expansion | 2007 | 0 |
| 8 | 2007 | 4 | |
| 9 | In Enterprise Search: Methods to Identify Argumentative Discussions and to Find Topical Experts. | 2006 | 2 |
| 10 | 2005 | 3 | |
| 11 | Experiments in DUC 2005 | 2005 | 1 |
| 12 | Summarization Techniques at DUC 2004 | 2004 | 9 |
About Maheedhar Kolla
Maheedhar Kolla is a scholar working on Information Systems and Management, Artificial Intelligence and Health Information Management, having authored 12 papers that have together received 648 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Biomedical Text Mining and Ontologies (3 papers), Advanced Text Analysis Techniques (3 papers), Natural Language Processing Techniques (3 papers), Information Retrieval and Search Behavior (2 papers), Expert finding and Q&A systems (2 papers), Semantic Web and Ontologies (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Information Systems (465 citations), Signal Processing (107 citations) and Artificial Intelligence (300 citations). Maheedhar Kolla has collaborated with scholars based in Canada. Frequent co-authors include Olga Vechtomova, Charles L. A. Clarke, Gordon V. Cormack, Stefan Büttcher, Azin Ashkan, Yllias Chali and Yan Fossat.
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.