Chid Apte

1.1k citations
28 papers · 685 · h-index 12

Impact in

    • Data Mining Algorithms and Applications
    • Web Data Mining and Analysis
    • Spam and Phishing Detection
    • Text and Document Classification Technologies
    • Advanced Text Analysis Techniques
    • Algorithms and Data Compression

Papers in

    • Text and Document Classification Technologies 4
    • Semantic Web and Ontologies 3
    • Algorithms and Data Compression 3
    • AI-based Problem Solving and Planning 2
    • Imbalanced Data Classification Techniques 2
    • Data Mining Algorithms and Applications 9

Chid Apte

27 papers receiving 620 citations

Peers

Chid Apte
Comparison fields: 5 of 122
  • Information Systems 225
  • Artificial Intelligence 317
  • Health Information Management 38
  • Signal Processing 56
  • Software 19
Replace Silvia Chiusano with:
Silvia Chiusano Italy
Gholamreza Nakhaeizadeh Germany
Junfeng Zhao China
Wubai Zhou United States
Zhanhuai Li China
Aleksander Kołcz United States
Arnold Adimabua Ojugo Nigeria
Chien-Chung Chan United States
Yihua Huang China
Saeed Jalili Iran
Chid Apte relative to Silvia Chiusano Italy Silvia Chiusano's profile →
Citations per field
00.5×1.5×
Silvia Chiusano · 1×
Citations per year

Countries citing papers authored by Chid Apte

Since Specialization
Citations

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

Fields of papers citing papers by Chid Apte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chid Apte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chid Apte Line = papers co-authored together Chid Apte links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999128
2 2005124
3 200583
4 200277
5 199733
6 200131
7 200430
8 200225
9 200523
10 200322
11 199921
12 200613
13 200011
14 200210
15 20128
16 20038
17
Proceedings of the Eighth SIAM International Conference on Data Mining
20086
18 20026
19 20035
20 20045

About Chid Apte

Chid Apte is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Marketing and Strategy and Management, having authored 28 papers that have together received 685 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Text and Document Classification Technologies (4 papers), Consumer Market Behavior and Pricing (3 papers), Semantic Web and Ontologies (3 papers), Algorithms and Data Compression (3 papers), Big Data and Business Intelligence (2 papers), AI-based Problem Solving and Planning (2 papers) and Imbalanced Data Classification Techniques (2 papers). The work is most often cited by research in Information Systems (225 citations), Artificial Intelligence (317 citations), Health Information Management (38 citations), Signal Processing (56 citations) and Software (19 citations). Chid Apte has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Sameer Singh, Petra Perner, Maneesha Singh, Fred J. Damerau, Thomas Goetz, David E. Johnson, Frank J. Oles, Joseph L. Hellerstein, S. Ma and Ricardo Vilalta. Their work appears in journals such as IBM Journal of Research and Development, IBM Systems Journal, Computers in Biology and Medicine, Engineering Applications of Artificial Intelligence and Lecture notes in computer science.

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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