Iftekhar Naim

758 total citations
15 papers, 423 citations indexed

About

Iftekhar Naim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Iftekhar Naim has authored 15 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Iftekhar Naim's work include Topic Modeling (6 papers), Multimodal Machine Learning Applications (4 papers) and Natural Language Processing Techniques (4 papers). Iftekhar Naim is often cited by papers focused on Topic Modeling (6 papers), Multimodal Machine Learning Applications (4 papers) and Natural Language Processing Techniques (4 papers). Iftekhar Naim collaborates with scholars based in United States, Canada and India. Iftekhar Naim's co-authors include Daniel Gildea, Md. Iftekhar Tanveer, Mohammed Ehsan Hoque, Gaurav Sharma, Suprakash Datta, Tim R. Mosmann, Jonathan A. Rebhahn, Jiebo Luo, Henry Kautz and Jason M. Weaver and has published in prestigious journals such as Communications of the ACM, Computational Linguistics and IEEE Transactions on Affective Computing.

In The Last Decade

Iftekhar Naim

15 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iftekhar Naim United States 11 147 115 88 51 39 15 423
Markus Vogel Germany 12 58 0.4× 77 0.7× 39 0.4× 34 0.7× 105 2.7× 48 466
Cheng Qiu United States 10 76 0.5× 130 1.1× 50 0.6× 34 0.7× 35 0.9× 21 493
Tom Collins United Kingdom 12 31 0.2× 92 0.8× 117 1.3× 42 0.8× 33 0.8× 27 464
Xiangying Jiang United States 13 292 2.0× 52 0.5× 126 1.4× 7 0.1× 51 1.3× 35 966
Tom Hope United States 13 178 1.2× 49 0.4× 41 0.5× 26 0.5× 34 0.9× 43 407
Joshua C. Peterson United States 11 159 1.1× 7 0.1× 134 1.5× 29 0.6× 69 1.8× 29 472
Lonneke van der Plas Malta 11 992 6.7× 76 0.7× 93 1.1× 63 1.2× 100 2.6× 45 1.2k
Yi‐Chen Chen Taiwan 8 97 0.7× 12 0.1× 66 0.8× 30 0.6× 29 0.7× 20 229
Jeongmin Lee South Korea 8 64 0.4× 17 0.1× 111 1.3× 67 1.3× 33 0.8× 20 704
Balázs Kis Sweden 5 341 2.3× 25 0.2× 24 0.3× 22 0.4× 39 1.0× 12 441

Countries citing papers authored by Iftekhar Naim

Since Specialization
Citations

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

Fields of papers citing papers by Iftekhar Naim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iftekhar Naim

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

All Works

15 of 15 papers shown
1.
Raman, Karthik, et al.. (2022). Transforming Sequence Tagging Into A Seq2Seq Task. 11856–11874. 8 indexed citations
2.
Naim, Iftekhar, et al.. (2018). Feature-Based Decipherment for Machine Translation. Computational Linguistics. 44(3). 525–546. 1 indexed citations
3.
Lasecki, Walter S., Christopher Miller, Iftekhar Naim, et al.. (2017). Scribe. Communications of the ACM. 60(9). 93–100. 13 indexed citations
4.
Naim, Iftekhar, Abdullah Al Mamun, Kaustubh Kulkarni, et al.. (2016). Unsupervised alignment of actions in video with text descriptions. International Joint Conference on Artificial Intelligence. 2025–2031. 18 indexed citations
5.
Naim, Iftekhar, Md. Iftekhar Tanveer, Daniel Gildea, & Mohammed Ehsan Hoque. (2016). Automated Analysis and Prediction of Job Interview Performance. IEEE Transactions on Affective Computing. 9(2). 191–204. 86 indexed citations
6.
Ali, Mohammad Rafayet, et al.. (2016). ROC comment. 928–933. 2 indexed citations
7.
Naim, Iftekhar, et al.. (2016). Aligning movies with scripts by exploiting temporal ordering constraints. 1786–1791. 2 indexed citations
8.
Naim, Iftekhar, Md. Iftekhar Tanveer, Daniel Gildea, & Mohammed Ehsan Hoque. (2015). Automated prediction and analysis of job interview performance: The role of what you say and how you say it. 1–6. 79 indexed citations
9.
Naim, Iftekhar, Young Chul Song, Liang Huang, et al.. (2015). Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments. 164–174. 17 indexed citations
10.
11.
Naim, Iftekhar, et al.. (2014). Unsupervised Alignment of Natural Language Instructions with Video Segments. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 29 indexed citations
12.
Mosmann, Tim R., Iftekhar Naim, Jonathan A. Rebhahn, et al.. (2014). SWIFT—scalable clustering for automated identification of rare cell populations in large, high‐dimensional flow cytometry datasets, Part 2: Biological evaluation. Cytometry Part A. 85(5). 422–433. 56 indexed citations
13.
Naim, Iftekhar, Daniel Gildea, Walter S. Lasecki, & Jeffrey P. Bigham. (2013). Text Alignment for Real-Time Crowd Captioning. North American Chapter of the Association for Computational Linguistics. 201–210. 17 indexed citations
14.
Naim, Iftekhar & Daniel Gildea. (2012). Convergence of the EM Algorithm for Gaussian Mixtures with Unbalanced Mixing Coefficients. arXiv (Cornell University). 1427–1431. 21 indexed citations
15.
Naim, Iftekhar, et al.. (2010). Swift: Scalable weighted iterative sampling for flow cytometry clustering. 509–512. 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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