Milind Naphade

5.0k total citations · 2 hit papers
97 papers, 3.4k citations indexed

About

Milind Naphade is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Milind Naphade has authored 97 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Computer Vision and Pattern Recognition, 36 papers in Signal Processing and 17 papers in Artificial Intelligence. Recurrent topics in Milind Naphade's work include Video Analysis and Summarization (65 papers), Advanced Image and Video Retrieval Techniques (55 papers) and Image Retrieval and Classification Techniques (38 papers). Milind Naphade is often cited by papers focused on Video Analysis and Summarization (65 papers), Advanced Image and Video Retrieval Techniques (55 papers) and Image Retrieval and Classification Techniques (38 papers). Milind Naphade collaborates with scholars based in United States, United Kingdom and Slovakia. Milind Naphade's co-authors include Thomas S. Huang, Apostol Natsev, John R. Smith, J. R. Smith, Colin Harrison, Robert Morris, Guruduth Banavar, Ching‐Yung Lin, Alex Hauptmann and John R. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Milind Naphade

97 papers receiving 3.1k citations

Hit Papers

Large-Scale Concept Ontology for Multimedia 2006 2026 2012 2019 2006 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milind Naphade United States 28 2.5k 629 550 306 208 97 3.4k
Pierfrancesco Bellini Italy 21 348 0.1× 307 0.5× 193 0.4× 285 0.9× 538 2.6× 122 1.9k
Zunera Jalil Pakistan 24 448 0.2× 933 1.5× 701 1.3× 149 0.5× 694 3.3× 50 2.2k
Peng-Yeng Yin Taiwan 28 887 0.4× 641 1.0× 67 0.1× 201 0.7× 294 1.4× 86 2.4k
Stathes Hadjiefthymiades Greece 22 567 0.2× 526 0.8× 245 0.4× 54 0.2× 993 4.8× 179 2.2k
Sohail Jabbar Pakistan 30 559 0.2× 726 1.2× 424 0.8× 144 0.5× 1.5k 7.1× 128 3.2k
Logesh Ravi India 29 606 0.2× 609 1.0× 134 0.2× 72 0.2× 705 3.4× 116 2.7k
Faiyaz Doctor United Kingdom 23 445 0.2× 649 1.0× 130 0.2× 59 0.2× 253 1.2× 81 1.9k
Abdelaziz Bouras Qatar 21 393 0.2× 724 1.2× 166 0.3× 72 0.2× 269 1.3× 111 2.2k
Gencai Chen China 25 624 0.2× 417 0.7× 557 1.0× 24 0.1× 387 1.9× 106 1.9k
Wei Sun China 24 444 0.2× 653 1.0× 264 0.5× 120 0.4× 908 4.4× 120 2.2k

Countries citing papers authored by Milind Naphade

Since Specialization
Citations

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

Fields of papers citing papers by Milind Naphade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milind Naphade

This figure shows the co-authorship network connecting the top 25 collaborators of Milind Naphade. A scholar is included among the top collaborators of Milind Naphade 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 Milind Naphade. Milind Naphade 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.
Naphade, Milind, Zheng Tang, Ming‐Ching Chang, et al.. (2019). The 2019 AI City Challenge.. Computer Vision and Pattern Recognition. 452–460. 15 indexed citations
2.
Tang, Shuai, et al.. (2019). Video-Based Activity Forecasting for Construction Safety Monitoring Use Cases. 204–210. 12 indexed citations
3.
Naphade, Milind, David C. Anastasiu, Anuj Sharma, et al.. (2017). The NVIDIA AI City Challenge. San José State University ScholarWorks (San Jose State University). 1–6. 51 indexed citations
4.
Sahu, Sambit, et al.. (2013). Heat pump detection from coarse grained smart meter data with positive and unlabeled learning. 1330–1338. 26 indexed citations
5.
Li, Ming, Jing Dai, Sambit Sahu, & Milind Naphade. (2011). Trip analyzer through smartphone apps. 537–540. 22 indexed citations
6.
Dai, Jing, Feng Chen, Sambit Sahu, & Milind Naphade. (2010). Regional behavior change detection via local spatial scan. 490–493. 2 indexed citations
7.
Sundaram, Hari, et al.. (2006). Image and Video Retrieval: 5th Internatinoal Conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 1 indexed citations
8.
Kender, John R. & Milind Naphade. (2005). Visual Concepts for News Story Tracking: Analyzing and Exploiting the NIST TRECVID Video Annotation Experiment. 1. 1174–1181. 24 indexed citations
9.
Naphade, Milind & J. R. Smith. (2005). Active learning for simultaneous annotation of multiple binary semantic concepts [video content analysis]. 5021. 77–80. 3 indexed citations
10.
Naphade, Milind, Apostol Natsev, Ching‐Yung Lin, & John R. Smith. (2004). MULTI-GRANULAR DETECTION OF REGIONAL SEMANTIC CONCEPTS. 109–112. 3 indexed citations
11.
Naphade, Milind & John R. Smith. (2004). ACTIVE LEARNING FOR SIMULTANEOUS ANNOTATION OF MULTIPLE BINARY SEMANTIC CONCEPTS. 77–80. 10 indexed citations
12.
Amir, Arnon, Giridharan Iyengar, C.-Y. Lin, et al.. (2004). Multimodal video search techniques: late fusion of speech-based retrieval and visual content-based retrieval. 3. iii–1048. 2 indexed citations
13.
Naphade, Milind & J. R. Smith. (2004). Learning visual models of semantic concepts. 3. II–531. 16 indexed citations
14.
Iyengar, Giridharan, Ching‐Yung Lin, Milind Naphade, et al.. (2003). Semantic Indexing of Multimedia Content Using Visual, Audio, and Text Cues. SHILAP Revista de lepidopterología. 4 indexed citations
15.
Amir, Arnon, Giridharan Iyengar, Milind Naphade, et al.. (2003). IBM Research TRECVID 2004 Video Retrieval System.. TRECVID. 91 indexed citations
16.
Naphade, Milind & John R. Smith. (2003). Role of classifiers in multimedia content management. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5021. 89–89. 6 indexed citations
17.
Iyengar, Giridharan, C. Neti, Harriet J. Nock, et al.. (2002). IBM Research TREC 2002 Video Retrieval System.. Text REtrieval Conference. 36 indexed citations
18.
Smith, John R., Savitha Srinivasan, Arnon Amir, et al.. (2001). Integrating features, models, and semantics for TREC Video Retrieval. Text REtrieval Conference. 14(16). 240–249. 21 indexed citations
19.
Naphade, Milind, I. Kozintsev, & Thomas S. Huang. (2000). Probabilistic Semantic Video Indexing. Neural Information Processing Systems. 13. 967–973. 16 indexed citations
20.
Naphade, Milind & Thomas S. Huang. (2000). Stochastic modeling of soundtrack for efficient segmentation and indexing of video. Proceedings of SPIE - The International Society for Optical Engineering. 3972. 168–176. 14 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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