Daniel Selsam

1.1k total citations
3 papers, 65 citations indexed

About

Daniel Selsam is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Selsam has authored 3 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Selsam's work include Machine Learning and Data Classification (2 papers), Software Engineering Research (1 paper) and Advanced Software Engineering Methodologies (1 paper). Daniel Selsam is often cited by papers focused on Machine Learning and Data Classification (2 papers), Software Engineering Research (1 paper) and Advanced Software Engineering Methodologies (1 paper). Daniel Selsam collaborates with scholars based in United States. Daniel Selsam's co-authors include Cristina Re, Christopher De, Alexander Ratner, Sen Wu, Nikolaj Bjørner, Percy Liang and David L. Dill and has published in prestigious journals such as PubMed and International Conference on Machine Learning.

In The Last Decade

Daniel Selsam

3 papers receiving 61 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Selsam United States	3	40	12	8	6	6	3	65
Wael Farhan Jordan	4	83 2.1×	8 0.7×	7 0.9×	5 0.8×	3 0.5×	6	92
Arkady Epshteyn United States	5	42 1.1×	7 0.6×	10 1.3×	3 0.5×	3 0.5×	7	56
Aakanksha Naik United States	6	84 2.1×	16 1.3×	12 1.5×	9 1.5×	6 1.0×	19	104
Aohan Zeng China	4	49 1.2×	15 1.3×	14 1.8×	9 1.5×	4 0.7×	6	76
Winston Wang United States	3	34 0.8×	5 0.4×	7 0.9×	4 0.7×	14 2.3×	7	58
Irina Matveeva United States	5	96 2.4×	11 0.9×	12 1.5×	5 0.8×	8 1.3×	11	103
Alex Ozdemir United States	4	27 0.7×	4 0.3×	9 1.1×	9 1.5×	6 1.0×	8	41
Kenta Oono Japan	3	30 0.8×	10 0.8×	13 1.6×	7 1.2×	3 0.5×	5	48
Ivana Balažević United Kingdom	3	86 2.1×	10 0.8×	25 3.1×	10 1.7×	3 0.5×	4	104
Anton Tsitsulin United States	3	36 0.9×	7 0.6×	11 1.4×	8 1.3×	2 0.3×	8	44

Countries citing papers authored by Daniel Selsam

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Selsam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Selsam

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

All Works

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3 of 3 papers shown

1.

Selsam, Daniel & Nikolaj Bjørner. (2019). NeuroCore: Guiding High-Performance SAT Solvers with Unsat-Core Predictions.. 5 indexed citations

2.

Selsam, Daniel, Percy Liang, & David L. Dill. (2017). Developing Bug-Free Machine Learning Systems With Formal Mathematics.. International Conference on Machine Learning. 3047–3056. 4 indexed citations

3.

Ratner, Alexander, Christopher De, Sen Wu, Daniel Selsam, & Cristina Re. (2016). Data Programming: Creating Large Training Sets, Quickly.. PubMed. 29. 3567–3575. 56 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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