Christian Gomes

454 total citations
22 papers, 306 citations indexed

About

Christian Gomes is a scholar working on Artificial Intelligence, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Christian Gomes has authored 22 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Molecular Biology. Recurrent topics in Christian Gomes's work include Topic Modeling (7 papers), Text and Document Classification Technologies (7 papers) and Advanced Text Analysis Techniques (6 papers). Christian Gomes is often cited by papers focused on Topic Modeling (7 papers), Text and Document Classification Technologies (7 papers) and Advanced Text Analysis Techniques (6 papers). Christian Gomes collaborates with scholars based in Brazil, France and United States. Christian Gomes's co-authors include Gustaf Trolin, Leonardo Rocha, Marcos André Gonçalves, Felipe Viegas, Sérgio Canuto, Thierson Couto Rosa, Alberto Coustasse, Vítor Mangaravite, Ângelo B. M. Machado and M. Henning and has published in prestigious journals such as Cellular and Molecular Life Sciences, Chemometrics and Intelligent Laboratory Systems and Information Processing & Management.

In The Last Decade

Christian Gomes

21 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Gomes Brazil	11	138	52	44	42	26	22	306
Konstantin Knorr Germany	5	38 0.3×	46 0.9×	52 1.2×	74 1.8×		10	227
Ruoyun Xiong United States	6	92 0.7×	52 1.0×	10 0.2×	16 0.4×		7	298
Amira Soliman Sweden	8	49 0.4×	34 0.7×	31 0.7×	14 0.3×		27	192
Tung Tran United States	8	133 1.0×	83 1.6×	2 0.0×	19 0.5×	3 0.1×	15	249
Lingfeng Zhang China	7	62 0.4×	96 1.8×	7 0.2×	9 0.2×	1 0.0×	30	266
Adam Funk United States	9	116 0.8×	39 0.8×	16 0.4×	41 1.0×		23	238
Wen‐Yuan Lee Taiwan	10	43 0.3×	84 1.6×	6 0.1×	6 0.1×		35	416
Łukasz Olejnik Poland	7	140 1.0×	10 0.2×	5 0.1×	31 0.7×		12	244
Prashanti Manda United States	9	79 0.6×	145 2.8×	2 0.0×	46 1.1×	1 0.0×	31	276
Bisakha Ray United States	6	82 0.6×	38 0.7×	5 0.1×	16 0.4×		12	196

Countries citing papers authored by Christian Gomes

Since Specialization

Citations

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

Fields of papers citing papers by Christian Gomes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Gomes

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

All Works

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20 of 20 papers shown

Gomes, Christian, Leonardo Rocha, & Marcos André Gonçalves. (2023). On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction. 213–224.

Tinwell, H., Agnes L. Karmaus, Christian Gomes, et al.. (2023). Evaluating H295R steroidogenesis assay data for robust interpretation. Regulatory Toxicology and Pharmacology. 143. 105461–105461. 3 indexed citations

Gomes, Christian, Leonardo Rocha, & Marcos André Gonçalves. (2022). On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction. 91–100. 1 indexed citations

Gomes, Christian, Marcos André Gonçalves, Leonardo Rocha, & Sérgio Canuto. (2021). On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction. 4003–4014. 5 indexed citations

Mangaravite, Vítor, Christian Gomes, Sérgio Canuto, et al.. (2021). On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study. Information Processing & Management. 58(3). 102481–102481. 56 indexed citations

Viegas, Felipe, et al.. (2020). CluHTM - Semantic Hierarchical Topic Modeling based on CluWords. 8138–8150. 21 indexed citations

Viegas, Felipe, Sérgio Canuto, Christian Gomes, et al.. (2019). CluWords. 753–761. 34 indexed citations

Claeys‐Bruno, Magalie, Christian Gomes, Cecilia Bruno, & M. Sergent. (2018). Comparative study of mixture designs for complex phenomena. Chemometrics and Intelligent Laboratory Systems. 178. 65–72. 2 indexed citations

Gomes, Christian, Magalie Claeys‐Bruno, & M. Sergent. (2018). Space-filling designs for mixtures. Chemometrics and Intelligent Laboratory Systems. 174. 111–127. 3 indexed citations

10.

Viegas, Felipe, Christian Gomes, Sérgio Canuto, et al.. (2018). Semantically-Enhanced Topic Modeling. 893–902. 9 indexed citations

11.

Gomes, Christian, et al.. (2016). The Feasibility of the Nationwide Health Information Network. The Health Care Manager. 35(2). 103–112. 5 indexed citations

12.

Gomes, Christian & Alberto Coustasse. (2015). Tweeting and Treating. The Health Care Manager. 34(3). 203–214. 17 indexed citations

13.

Carlini, Célia R., Christian Gomes, Jorge A. Guimarães, et al.. (1984). Central Nervous Effects of the Convulsant Protein Canatoxin *. Acta Pharmacologica et Toxicologica. 54(3). 161–166. 31 indexed citations

14.

Gomes, Christian & Gustaf Trolin. (1982). GABA turnover in mouse brain: Agreement between the rate of GABA accumulation after aminooxyacetic acid and the rate of disappearance after 3-mercaptopropionic acid. Journal of Neural Transmission. 54(3-4). 265–274. 14 indexed citations

15.

Gomes, Christian, et al.. (1981). Role of GABA‐ergic receptors for the synthesis of GABA in different compartments of the rat cerebellum¹. Acta Physiologica Scandinavica. 112(1). 109–110. 4 indexed citations

16.

Gomes, Christian & Gustaf Trolin. (1980). Circulatory effects of decerebration in the unanesthetized spontaneously hypertensive rat¹. Acta Physiologica Scandinavica. 108(2). 201–203. 4 indexed citations

17.

Gomes, Christian, M. Henning, Bertil Persson, & Gustaf Trolin. (1978). Interaction of α- and β-Adrenergic Receptor Blocking Agents: Circulatory Effects in the Conscious Rat. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 1(2). 141–165. 15 indexed citations

18.

Gomes, Christian, T.H. Svensson, & Gustaf Trolin. (1976). Evidence for involvement of central noradrenergic neurons in the cardiovascular depression induced by morphine in the rat. Journal of Neural Transmission. 39(1-2). 33–46. 12 indexed citations

19.

Gomes, Christian, et al.. (1976). Gammahydroxy butyric acid: Cardiovascular effects in the rat. Journal of Neural Transmission. 38(2). 123–129. 13 indexed citations

20.

Machado, Ângelo B. M., C. R. S. Machado, & Christian Gomes. (1975). Depletion of heart norepinephrine in experimental acute myocarditis caused byTrypanosoma cruzi. Cellular and Molecular Life Sciences. 31(10). 1202–1203. 18 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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