Martin Pawelczyk

1.2k total citations · 1 hit paper
3 papers, 432 citations indexed

About

Martin Pawelczyk is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Martin Pawelczyk has authored 3 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Martin Pawelczyk's work include Explainable Artificial Intelligence (XAI) (2 papers), Advanced Neural Network Applications (1 paper) and Machine Learning and Data Classification (1 paper). Martin Pawelczyk is often cited by papers focused on Explainable Artificial Intelligence (XAI) (2 papers), Advanced Neural Network Applications (1 paper) and Machine Learning and Data Classification (1 paper). Martin Pawelczyk collaborates with scholars based in Germany and United States. Martin Pawelczyk's co-authors include Gjergji Kasneci, Vadim Borisov, Tobias Leemann, Johannes Haug, Kathrin Seßler, Klaus Broelemann and Hamed Jalali and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Uncertainty in Artificial Intelligence and 2021 IEEE International Conference on Big Data (Big Data).

In The Last Decade

Martin Pawelczyk

2 papers receiving 421 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Neural Networks and Tabular Data: A Survey

2022 428 citations Vadim Borisov, Tobias Leemann et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Martin Pawelczyk Germany	2	206	45	33	29	28	3	432
Kathrin Seßler Germany	4	234 1.1×	46 1.0×	34 1.0×	39 1.3×	28 1.0×	4	489
Tobias Leemann Germany	3	262 1.3×	54 1.2×	33 1.0×	32 1.1×	28 1.0×	4	513
Vadim Borisov Russia	9	223 1.1×	55 1.2×	35 1.1×	34 1.2×	30 1.1×	48	652
Mahmoud B. Alhasanat Jordan	7	156 0.8×	60 1.3×	19 0.6×	52 1.8×	33 1.2×	16	531
Awny Sayed Egypt	8	229 1.1×	55 1.2×	29 0.9×	65 2.2×	16 0.6×	21	443
Shen Li-ming China	5	231 1.1×	78 1.7×	49 1.5×	36 1.2×	30 1.1×	8	493
Paul Trundle United Kingdom	6	164 0.8×	106 2.4×	41 1.2×	30 1.0×	14 0.5×	7	487
Harshvardhan GM India	11	162 0.8×	96 2.1×	49 1.5×	39 1.3×	10 0.4×	20	488
Haiyang Huang China	5	261 1.3×	48 1.1×	11 0.3×	15 0.5×	33 1.2×	13	538
Purvi Prajapati India	7	152 0.7×	32 0.7×	30 0.9×	85 2.9×	15 0.5×	13	372

Countries citing papers authored by Martin Pawelczyk

Since Specialization

Citations

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

Fields of papers citing papers by Martin Pawelczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Pawelczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Pawelczyk. A scholar is included among the top collaborators of Martin Pawelczyk 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 Martin Pawelczyk. Martin Pawelczyk 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.

Borisov, Vadim, Tobias Leemann, Kathrin Seßler, et al.. (2022). Deep Neural Networks and Tabular Data: A Survey. IEEE Transactions on Neural Networks and Learning Systems. 35(6). 7499–7519. 428 indexed citations breakdown →

2.

Jalali, Hamed, Martin Pawelczyk, & Gjergji Kasneci. (2021). Model Selection in Local Approximation Gaussian Processes: A Markov Random Fields Approach. 2021 IEEE International Conference on Big Data (Big Data). 768–778.

3.

Pawelczyk, Martin, Klaus Broelemann, & Gjergji Kasneci. (2020). On Counterfactual Explanations under Predictive Multiplicity.. Uncertainty in Artificial Intelligence. 809–818. 4 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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