S.B. Gelfand

2.4k total citations
102 papers, 1.5k citations indexed

About

S.B. Gelfand is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, S.B. Gelfand has authored 102 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 34 papers in Artificial Intelligence and 30 papers in Computer Networks and Communications. Recurrent topics in S.B. Gelfand's work include Advanced Wireless Communication Techniques (35 papers), Wireless Communication Networks Research (19 papers) and Blind Source Separation Techniques (16 papers). S.B. Gelfand is often cited by papers focused on Advanced Wireless Communication Techniques (35 papers), Wireless Communication Networks Research (19 papers) and Blind Source Separation Techniques (16 papers). S.B. Gelfand collaborates with scholars based in United States, South Korea and Taiwan. S.B. Gelfand's co-authors include Sanjoy K. Mitter, Edward J. Delp, C. Ravishankar, Hong Guo, M.P. Fitz, Yaakov Bar‐Shalom, Thomas Fortmann, James V. Krogmeier, Yongbin Wei and Molly M. Scheffe and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, American Journal of Clinical Nutrition and IEEE Transactions on Automatic Control.

In The Last Decade

S.B. Gelfand

89 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.B. Gelfand United States 21 582 314 289 270 254 102 1.5k
Animashree Anandkumar United States 20 654 1.1× 228 0.7× 409 1.4× 182 0.7× 174 0.7× 99 1.6k
Gianluigi Pillonetto Italy 30 860 1.5× 218 0.7× 512 1.8× 134 0.5× 131 0.5× 142 3.4k
Qianhua He China 13 687 1.2× 169 0.5× 126 0.4× 365 1.4× 557 2.2× 97 1.5k
Gonzalo Mateos United States 25 1.1k 1.9× 445 1.4× 1.2k 4.0× 393 1.5× 478 1.9× 97 3.0k
Xiaofeng Chen China 24 773 1.3× 506 1.6× 1.1k 4.0× 184 0.7× 103 0.4× 131 2.2k
Ya Xue United States 13 675 1.2× 451 1.4× 233 0.8× 493 1.8× 614 2.4× 29 2.6k
Zhenya He China 20 359 0.6× 172 0.5× 282 1.0× 501 1.9× 285 1.1× 168 1.4k
Chun Yang United States 22 810 1.4× 477 1.5× 343 1.2× 115 0.4× 108 0.4× 131 1.8k
David Y. Y. Yun United States 16 314 0.5× 157 0.5× 88 0.3× 114 0.4× 117 0.5× 101 1.0k
David G. M. Mitchell United States 25 987 1.7× 866 2.8× 1.7k 5.9× 63 0.2× 214 0.8× 189 3.3k

Countries citing papers authored by S.B. Gelfand

Since Specialization
Citations

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

Fields of papers citing papers by S.B. Gelfand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.B. Gelfand. 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 S.B. Gelfand. The network helps show where S.B. Gelfand may publish in the future.

Co-authorship network of co-authors of S.B. Gelfand

This figure shows the co-authorship network connecting the top 25 collaborators of S.B. Gelfand. A scholar is included among the top collaborators of S.B. Gelfand 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 S.B. Gelfand. S.B. Gelfand 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.
Gelfand, S.B., Anindya Bhadra, Edward J. Delp, et al.. (2023). Temporal Dietary Pattern Cluster Membership Varies on Weekdays and Weekends but Both Link to Health. Journal of Nutrition. 154(2). 722–733. 2 indexed citations
2.
Bhadra, Anindya, S.B. Gelfand, Edward J. Delp, et al.. (2023). Temporal Patterns of Diet and Physical Activity and of Diet Alone Have More Numerous Relationships With Health and Disease Status Indicators Compared to Temporal Patterns of Physical Activity Alone. Journal of the Academy of Nutrition and Dietetics. 123(12). 1729–1748.e3.
3.
Li, Yitao, S.B. Gelfand, Edward J. Delp, et al.. (2022). The Discovery of Data-Driven Temporal Dietary Patterns and a Validation of Their Description Using Energy and Time Cut-Offs. Nutrients. 14(17). 3483–3483. 3 indexed citations
4.
Gelfand, S.B., Edward J. Delp, Anindya Bhadra, et al.. (2021). Temporal physical activity patterns are associated with obesity in U.S. adults. Preventive Medicine. 148. 106538–106538. 10 indexed citations
5.
Gelfand, S.B., Edward J. Delp, Anindya Bhadra, et al.. (2021). Joint temporal dietary and physical activity patterns: associations with health status indicators and chronic diseases. American Journal of Clinical Nutrition. 115(2). 456–470. 10 indexed citations
6.
Gelfand, S.B., Edward J. Delp, Anindya Bhadra, et al.. (2020). Temporal Dietary Patterns Are Associated with Obesity in US Adults. Journal of Nutrition. 150(12). 3259–3268. 19 indexed citations
7.
Richards, Elizabeth A., Erin Hennessy, Bethany McGowan, et al.. (2020). The Effect of Timing of Exercise and Eating on Postprandial Response in Adults: A Systematic Review. Nutrients. 12(1). 221–221. 38 indexed citations
8.
Hwang, Young‐Ha & S.B. Gelfand. (2019). Binary Sparse Dynamic Time Warping.. 748–759. 1 indexed citations
9.
Eicher‐Miller, Heather A., et al.. (2019). Distance metrics optimized for clustering temporal dietary patterning among U.S. adults. Appetite. 144. 104451–104451. 8 indexed citations
10.
Khanna, Nitin, Heather A. Eicher‐Miller, Carol J. Boushey, S.B. Gelfand, & Edward J. Delp. (2011). Temporal Dietary Patterns Using Kernel k-Means Clustering. PubMed. 2011. 375–380. 21 indexed citations
11.
Gelfand, S.B., et al.. (2010). A spectral shaping nonlinear binary coded modulation with Gray-mapped QAM signals. 2363–2368. 7 indexed citations
12.
Doerschuk, Peter C., et al.. (2008). Models and Signal Processing for an Implanted Ethanol Bio-Sensor. IEEE Transactions on Biomedical Engineering. 55(2). 603–613. 2 indexed citations
13.
Gelfand, S.B., et al.. (2008). Rate Selection Algorithms for IR Hybrid ARQ. 1–6. 9 indexed citations
14.
Gelfand, S.B., C. Ravishankar, & Edward J. Delp. (2003). An iterative growing and pruning algorithm for classification tree design. 818–823. 10 indexed citations
15.
Gelfand, S.B., et al.. (2002). Performance analysis of hierarchical coded modulation systems. 3. 1600–1604. 1 indexed citations
16.
Fitz, M.P. & S.B. Gelfand. (2002). Reduced complexity symbol-by-symbol demodulation. 291–291.
17.
Gelfand, S.B., et al.. (1998). Recursive estimation of images using non-Gaussian autoregressive models. IEEE Transactions on Image Processing. 7(10). 1439–1452. 17 indexed citations
18.
Gelfand, S.B. & Sanjoy K. Mitter. (1993). Metropolis-Type Annealing Algorithms for Global Optimization in $\mathbb{R}^d $. SIAM Journal on Control and Optimization. 31(1). 111–131. 49 indexed citations
19.
Guo, Hong & S.B. Gelfand. (1992). Classification trees with neural network feature extraction. IEEE Transactions on Neural Networks. 3(6). 923–933. 97 indexed citations
20.
Gustafson, Donald, et al.. (1979). P wave detection and identification using statistical signal analysis. IEEE Transactions on Automatic Control. 16(16). 420–425. 2 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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