I. del Campo

63 total papers · 965 total citations
50 papers, 664 citations indexed

About

I. del Campo is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, I. del Campo has authored 50 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 12 papers in Automotive Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in I. del Campo's work include Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (17 papers) and Machine Learning and ELM (12 papers). I. del Campo is often cited by papers focused on Neural Networks and Applications (21 papers), Fuzzy Logic and Control Systems (17 papers) and Machine Learning and ELM (12 papers). I. del Campo collaborates with scholars based in Spain, United Kingdom and Germany. I. del Campo's co-authors include Javier Echanobe, Koldo Basterretxea, V. Sanchez Martinez, Faiyaz Doctor, Eduardo Alonso, Pradyumn Kumar Shukla, Hartmut Schmeck, Iñaki Maurtua and José Ramón González de Mendívil and has published in prestigious journals such as Applied Energy, Sensors and IEEE Transactions on Fuzzy Systems.

In The Last Decade

I. del Campo

48 papers receiving 638 citations

Author Peers

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

Author						Papers	Cites
I. del Campo	288	158	152	144	135	50	664
Yunduan Cui	262 0.9×	169 1.1×	183 1.2×	307 2.1×	97 0.7×	62	733
Jie Hu	131 0.5×	300 1.9×	71 0.5×	103 0.7×	166 1.2×	53	741
Ning Yang	177 0.6×	36 0.2×	133 0.9×	144 1.0×	111 0.8×	53	750
Ramin Hasani	228 0.8×	56 0.4×	128 0.8×	134 0.9×	70 0.5×	30	669
Alain Lambert	176 0.6×	186 1.2×	183 1.2×	187 1.3×	344 2.5×	62	715
Yaşar Becerikli	185 0.6×	55 0.3×	64 0.4×	232 1.6×	133 1.0×	51	692
Martin Herrmann	90 0.3×	165 1.0×	217 1.4×	75 0.5×	71 0.5×	52	597
Alok Prakash Mittal	141 0.5×	113 0.7×	219 1.4×	365 2.5×	41 0.3×	50	733
Edwin Hou	122 0.4×	108 0.7×	65 0.4×	179 1.2×	134 1.0×	31	594
Guozhen Tan	197 0.7×	101 0.6×	137 0.9×	176 1.2×	72 0.5×	53	639

Countries citing papers authored by I. del Campo

Since Specialization

Citations

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

Fields of papers citing papers by I. del Campo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. del Campo. 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 I. del Campo. The network helps show where I. del Campo may publish in the future.

Co-authorship network of co-authors of I. del Campo

This figure shows the co-authorship network connecting the top 25 collaborators of I. del Campo. A scholar is included among the top collaborators of I. del Campo 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 I. del Campo. I. del Campo 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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