Amit Singh
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Information Systems top 5%
- Web Data Mining and Analysis
- Expert finding and Q&A systems
Papers in
-
- Information Retrieval and Search Behavior 4
- Expert finding and Q&A systems 4
- Web Data Mining and Analysis 4
- Spam and Phishing Detection 2
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- Topic Modeling 7
- Natural Language Processing Techniques 2
- Co-authors
- Soumen ChakrabartiGanesh RamakrishnanKarthik VisweswariahVijil ChenthamarakshanNandakishore KambhatlaP DeepakLav R. VarshneySameep Mehta
- Journals
- SN Computer Science (1 paper)Data Archiving and Networked Services (DANS) (1 paper)International Conference on Computational Linguistics (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Amit Singh
14 papers receiving 381 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 350
- Information Systems 178
- Management Science and Operations Research 91
- Communication 25
- Computer Science Applications 13
Countries citing papers authored by Amit Singh
This map shows the geographic impact of Amit Singh'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 Amit Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Singh more than expected).
Fields of papers citing papers by Amit Singh
This network shows the impact of papers produced by Amit Singh. 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 Amit Singh. The network helps show where Amit Singh may publish in the future.
Co-authors
The 13 scholars most cited alongside Amit Singh, 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 | 2023 | 1 | |
| 2 | 2020 | 2 | |
| 3 | 2020 | 0 | |
| 4 | 2020 | 3 | |
| 5 | 2013 | 20 | |
| 6 | 2013 | 0 | |
| 7 | Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums | 2012 | 7 |
| 8 | 2012 | 1 | |
| 9 | Entity based Q&A Retrieval | 2012 | 23 |
| 10 | 2012 | 17 | |
| 11 | 2011 | 5 | |
| 12 | 2010 | 61 | |
| 13 | 2009 | 284 | |
| 14 | Curating and Searching the Annotated Web | 2009 | 5 |
| 15 | 2000 | 4 | |
| 16 | 1999 | 4 |
About Amit Singh
Amit Singh is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Computer Science Applications and Computer Networks and Communications, having authored 16 papers that have together received 437 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Information Retrieval and Search Behavior (4 papers), Expert finding and Q&A systems (4 papers), Web Data Mining and Analysis (4 papers), Network Security and Intrusion Detection (3 papers), Advanced Malware Detection Techniques (3 papers), Spam and Phishing Detection (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (350 citations), Information Systems (178 citations), Management Science and Operations Research (91 citations), Communication (25 citations) and Computer Science Applications (13 citations). Amit Singh has collaborated with scholars based in India and United States. Frequent co-authors include Soumen Chakrabarti, Ganesh Ramakrishnan, Karthik Visweswariah, Vijil Chenthamarakshan, Nandakishore Kambhatla, P Deepak, Lav R. Varshney, Sameep Mehta, Malgorzata Marek-Sadowska and L. Macchiarulo. Their work appears in journals such as SN Computer Science, Data Archiving and Networked Services (DANS) and International Conference on Computational Linguistics.
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.