Robert Gens

591 total citations
6 papers, 245 citations indexed

About

Robert Gens is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Robert Gens has authored 6 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Robert Gens's work include Bayesian Modeling and Causal Inference (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). Robert Gens is often cited by papers focused on Bayesian Modeling and Causal Inference (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). Robert Gens collaborates with scholars based in United States and Austria. Robert Gens's co-authors include Pedro Domingos, Robert Peharz, Z. Vekerdy and Christine Pohl and has published in prestigious journals such as Neural Information Processing Systems, University of Twente Research Information and International Conference on Machine Learning.

In The Last Decade

Robert Gens

6 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Gens United States	4	177	98	39	25	17	6	245
Ryan G. Gomes United States	4	163 0.9×	117 1.2×	21 0.5×	20 0.8×	6 0.4×	4	230
Jiajun Liu China	7	81 0.5×	165 1.7×	16 0.4×	20 0.8×	10 0.6×	19	243
Roi Livni Israel	6	116 0.7×	48 0.5×	25 0.6×	17 0.7×	17 1.0×	17	187
Eugenia Ternovska Canada	7	220 1.2×	37 0.4×	28 0.7×	18 0.7×	7 0.4×	19	282
Thijs Laarhoven Netherlands	8	144 0.8×	119 1.2×	31 0.8×	22 0.9×	7 0.4×	13	236
Brian Summa United States	10	42 0.2×	142 1.4×	43 1.1×	31 1.2×	5 0.3×	25	248
Dmitry Pechyony United States	9	175 1.0×	101 1.0×	8 0.2×	12 0.5×	18 1.1×	12	222
Alex Zhai United States	6	165 0.9×	161 1.6×	21 0.5×	10 0.4×	3 0.2×	10	289
Stefano Ermon United States	8	99 0.6×	34 0.3×	20 0.5×	14 0.6×	13 0.8×	33	198
Talya Meltzer Israel	6	219 1.2×	111 1.1×	30 0.8×	33 1.3×	8 0.5×	6	365

Countries citing papers authored by Robert Gens

Since Specialization

Citations

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

Fields of papers citing papers by Robert Gens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Gens

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

All Works

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6 of 6 papers shown

1.

Gens, Robert & Pedro Domingos. (2014). Deep Symmetry Networks. Neural Information Processing Systems. 27. 2537–2545. 76 indexed citations

2.

Peharz, Robert, Robert Gens, & Pedro Domingos. (2014). Learning Selective Sum-Product Networks. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 76(5). 0–0. 17 indexed citations

3.

Gens, Robert, et al.. (2013). Learning the Structure of Sum-Product Networks. International Conference on Machine Learning. 873–880. 73 indexed citations

4.

Gens, Robert & Pedro Domingos. (2012). Discriminative Learning of Sum-Product Networks. Neural Information Processing Systems. 25. 3239–3247. 74 indexed citations

5.

Gens, Robert, Z. Vekerdy, & Christine Pohl. (1998). Image and Data Fusion: Concept and Implementation of a Multimedia Tutorial. University of Twente Research Information. 217–222. 3 indexed citations

6.

Gens, Robert, et al.. (1996). Thematic information extraction in a neural network classification of multi sensor data including microwave phase information. University of Twente Research Information. 170–175. 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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