Mayer Aladjem

44 total papers · 982 total citations
35 papers, 583 citations indexed

About

Mayer Aladjem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Mayer Aladjem has authored 35 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 13 papers in Analytical Chemistry. Recurrent topics in Mayer Aladjem's work include Spectroscopy and Chemometric Analyses (13 papers), Face and Expression Recognition (11 papers) and Advanced Statistical Methods and Models (10 papers). Mayer Aladjem is often cited by papers focused on Spectroscopy and Chemometric Analyses (13 papers), Face and Expression Recognition (11 papers) and Advanced Statistical Methods and Models (10 papers). Mayer Aladjem collaborates with scholars based in Israel, United Kingdom and United States. Mayer Aladjem's co-authors include Shlomo Greenberg, Boaz Lerner, Hugo Guterman, I. Dinstein, Yitzhak Romem, Joseph Tabrikian, Stanley R. Rotman, Gil Tidhar and Marco Diani and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and Pattern Recognition.

In The Last Decade

Mayer Aladjem

31 papers receiving 529 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mayer Aladjem	265	249	144	74	59	35	583
Ivo Alberink	161 0.6×	83 0.3×	156 1.1×	32 0.4×	17 0.3×	48	666
Chao Wang	215 0.8×	174 0.7×	182 1.3×	40 0.5×	9 0.2×	64	568
Rpw Duin	193 0.7×	74 0.3×	330 2.3×	58 0.8×	14 0.2×	24	656
H. Kasban	212 0.8×	80 0.3×	51 0.4×	36 0.5×	56 0.9×	53	624
Gilles Gasso	210 0.8×	197 0.8×	162 1.1×	7 0.1×	9 0.2×	30	659
Lei Zhang	168 0.6×	93 0.4×	116 0.8×	41 0.6×	26 0.4×	54	524
R. C. Gonzalez	233 0.9×	41 0.2×	208 1.4×	13 0.2×	11 0.2×	25	628
Prudhvi Gurram	172 0.6×	38 0.2×	230 1.6×	14 0.2×	5 0.1×	48	667
Dragoljub Pokrajac	104 0.4×	110 0.4×	363 2.5×	27 0.4×	26 0.4×	34	608
Pravin Yannawar	176 0.7×	322 1.3×	206 1.4×	69 0.9×	9 0.2×	35	571

Countries citing papers authored by Mayer Aladjem

Since Specialization

Citations

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

Fields of papers citing papers by Mayer Aladjem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayer Aladjem

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

All Works

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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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