Amit Bagga

1.2k total citations
30 papers, 691 citations indexed

About

Amit Bagga is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amit Bagga has authored 30 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amit Bagga's work include Natural Language Processing Techniques (14 papers), Semantic Web and Ontologies (9 papers) and Topic Modeling (9 papers). Amit Bagga is often cited by papers focused on Natural Language Processing Techniques (14 papers), Semantic Web and Ontologies (9 papers) and Topic Modeling (9 papers). Amit Bagga collaborates with scholars based in United States, Bermuda and Israel. Amit Bagga's co-authors include Breck Baldwin, Jingmei Hu, Alan W. Biermann, Jianying Hu, Joyce Chai, Ani Nenkova, Tomek Strzalkowski, Jialin Zhong, Lawrence O’Gorman and Jon Bentley and has published in prestigious journals such as Computers & Security, Language Resources and Evaluation and IEEE Multimedia.

In The Last Decade

Amit Bagga

28 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Bagga United States 10 571 192 166 74 67 30 691
Breck Baldwin United States 8 620 1.1× 190 1.0× 122 0.7× 33 0.4× 46 0.7× 14 695
Lev Ratinov United States 8 1.3k 2.2× 152 0.8× 182 1.1× 131 1.8× 55 0.8× 11 1.4k
Ndapa Nakashole United States 11 612 1.1× 94 0.5× 130 0.8× 75 1.0× 38 0.6× 31 641
Michael Wick United States 13 427 0.7× 139 0.7× 98 0.6× 29 0.4× 54 0.8× 29 506
Isaac G. Councill United States 13 504 0.9× 139 0.7× 267 1.6× 34 0.5× 45 0.7× 25 704
Andrés García-Silva Spain 6 586 1.0× 115 0.6× 224 1.3× 47 0.6× 43 0.6× 20 682
Daniel M. Bikel United States 11 1.5k 2.7× 83 0.4× 245 1.5× 94 1.3× 54 0.8× 20 1.6k
Taylor Cassidy United States 12 502 0.9× 85 0.4× 73 0.4× 36 0.5× 39 0.6× 21 550
Jakub Piskorski Italy 15 596 1.0× 70 0.4× 195 1.2× 33 0.4× 22 0.3× 65 722
Manuel Palomar Spain 18 868 1.5× 48 0.3× 187 1.1× 36 0.5× 45 0.7× 90 997

Countries citing papers authored by Amit Bagga

Since Specialization
Citations

This map shows the geographic impact of Amit Bagga'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 Bagga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Bagga more than expected).

Fields of papers citing papers by Amit Bagga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Bagga. 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 Bagga. The network helps show where Amit Bagga may publish in the future.

Co-authorship network of co-authors of Amit Bagga

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Bagga. A scholar is included among the top collaborators of Amit Bagga 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 Amit Bagga. Amit Bagga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Jitender, et al.. (2022). Revisiting mean reversion in profitability and earnings: evidence from India (2007–2020). Managerial Finance. 49(5). 906–931.
2.
O’Gorman, Lawrence, Amit Bagga, & Jon Bentley. (2005). Query-directed passwords. Computers & Security. 24(7). 546–560. 6 indexed citations
3.
Hu, Jianying & Amit Bagga. (2003). Functionality-Based Web Image Categorization. 9 indexed citations
4.
Nenkova, Ani & Amit Bagga. (2003). Email classification for contact centers. 789–792. 11 indexed citations
5.
Nenkova, Ani & Amit Bagga. (2003). Email classification for contact centers. 1 indexed citations
6.
Bagga, Amit, et al.. (2003). Multi-source combined-media video tracking for summarization. 2. 818–821. 4 indexed citations
7.
Hu, Jianying, Jialin Zhong, & Amit Bagga. (2001). Combined-media video tracking for summarization. 502–505. 6 indexed citations
8.
Bagga, Amit, et al.. (2000). FidelityXPress: a multi-modal system for financial transactions. 803–811. 1 indexed citations
9.
Strzalkowski, Tomek, et al.. (2000). Towards the next generation information retrieval. 105(2). 1196–1207. 3 indexed citations
10.
Bagga, Amit, et al.. (2000). PartsID. 29–36. 3 indexed citations
11.
Bagga, Amit & Breck Baldwin. (1999). Cross-document event coreference. 1–1. 46 indexed citations
12.
Bagga, Amit. (1998). Evaluation of Coreferences and Coreference Resolution Systems.. Language Resources and Evaluation. 563–572. 7 indexed citations
13.
Bagga, Amit & Alan W. Biermann. (1998). Coreference, cross-document coreference, and information extraction methodologies. 9 indexed citations
14.
Bagga, Amit & Breck Baldwin. (1998). Entity-based cross-document coreferencing using the Vector Space Model. 1. 79–79. 344 indexed citations
15.
Baldwin, Breck, Thomas Morton, Amit Bagga, et al.. (1998). Description of the UPENN CAMP System as Used for Coreference.. 10 indexed citations
16.
Bagga, Amit & Joyce Chai. (1997). A Trainable Message Understanding System. 1–8. 3 indexed citations
17.
Bagga, Amit. (1997). The role of a GUI in the creation of a trainable message understanding system. Conference of the Centre for Advanced Studies on Collaborative Research. 3.
18.
Bagga, Amit, Joyce Chai, & Alan W. Biermann. (1997). The role of wordnet in the creation of a trainable message understanding system. National Conference on Artificial Intelligence. 941–948. 21 indexed citations
19.
Bagga, Amit, et al.. (1997). Analyzing the Complexity of a Domain With Respect To An Information Extraction Task. 175–194. 8 indexed citations
20.
Bagga, Amit, et al.. (1995). A trainable system for the extraction of meaning from text. Conference of the Centre for Advanced Studies on Collaborative Research. 3. 1 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.

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