Erik van der Goot

877 total citations
12 papers, 279 citations indexed

About

Erik van der Goot is a scholar working on Artificial Intelligence, Epidemiology and Molecular Biology. According to data from OpenAlex, Erik van der Goot has authored 12 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Erik van der Goot's work include Topic Modeling (5 papers), Data-Driven Disease Surveillance (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Erik van der Goot is often cited by papers focused on Topic Modeling (5 papers), Data-Driven Disease Surveillance (4 papers) and Sentiment Analysis and Opinion Mining (3 papers). Erik van der Goot collaborates with scholars based in Italy, Sweden and France. Erik van der Goot's co-authors include Martin Atkinson, Ralf Steinberger, Mijail Kabadjov, Bruno Pouliquen, Alexandra Balahur, Jens P. Linge, Agnès Rortais, Josef Steinberger, Paloma Martı́nez and Iwan Supit and has published in prestigious journals such as Food Research International, Clinical Microbiology and Infection and Ecological Modelling.

In The Last Decade

Erik van der Goot

12 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erik van der Goot Italy	7	165	55	51	35	24	12	279
Avaré Stewart Germany	9	64 0.4×	56 1.0×	46 0.9×	56 1.6×	9 0.4×	22	178
Olugbenga Oluwagbemi Nigeria	11	48 0.3×	25 0.5×	19 0.4×	13 0.4×	100 4.2×	37	317
Samira Yousefinaghani Canada	8	99 0.6×	88 1.6×	23 0.5×	177 5.1×	6 0.3×	11	330
Wouter Lueks Netherlands	8	75 0.5×	39 0.7×	103 2.0×	55 1.6×	26 1.1×	18	265
Herman Tolentino United States	8	39 0.2×	157 2.9×	25 0.5×	32 0.9×	54 2.3×	15	296
Adyasha Maharana United States	8	52 0.3×	34 0.6×	18 0.4×	27 0.8×	21 0.9×	14	231
Prasha Shrestha United States	9	153 0.9×	23 0.4×	60 1.2×	30 0.9×	30 1.3×	19	298
Ai Kawazoe Japan	10	171 1.0×	206 3.7×	43 0.8×	74 2.1×	165 6.9×	18	447
Daisuke Ikeda Japan	7	103 0.6×	25 0.5×	22 0.4×	21 0.6×	33 1.4×	23	227
Misook Choi South Korea	8	114 0.7×	4 0.1×	60 1.2×	35 1.0×	24 1.0×	61	380

Countries citing papers authored by Erik van der Goot

Since Specialization

Citations

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

Fields of papers citing papers by Erik van der Goot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik van der Goot. 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 Erik van der Goot. The network helps show where Erik van der Goot may publish in the future.

Co-authorship network of co-authors of Erik van der Goot

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

All Works

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12 of 12 papers shown

Balahur, Alexandra, Hristo Tanev, & Erik van der Goot. (2014). Challenges in Creating a Multilingual Sentiment Analysis Application for Social Media Mining. 66–66. 1 indexed citations

Turchi, Marco, et al.. (2014). ONTS: "Optima" News Translation System. arXiv (Cornell University). 25–30. 4 indexed citations

Hartley, David, Noele P. Nelson, Ray R. Arthur, et al.. (2013). An overview of Internet biosurveillance. Clinical Microbiology and Infection. 19(11). 1006–1013. 49 indexed citations

Goot, Erik van der, Hristo Tanev, & Jens P. Linge. (2013). Combining twitter and media reports on public health events in medisys. 703–718. 5 indexed citations

Steinberger, Josef, et al.. (2011). Multilingual Entity-Centered Sentiment Analysis Evaluated by Parallel Corpora. Recent Advances in Natural Language Processing. 770–775. 36 indexed citations

Martı́nez, Paloma, et al.. (2011). A real time Named Entity Recognition system for Arabic text mining. Language Resources and Evaluation. 46(4). 543–563. 21 indexed citations

Steinberger, Ralf, et al.. (2011). Expanding a multilingual media monitoring and information extraction tool to a new language: Swahili. Language Resources and Evaluation. 45(3). 311–330. 3 indexed citations

Linge, Jennifer, et al.. (2010). The European Centre for Disease Prevention and Control strengthening MedISys as a tool to accelerate detection of threats to human health from communicable diseases in the EU. International Journal of Infectious Diseases. 14. e274–e275. 1 indexed citations

Rortais, Agnès, et al.. (2010). MedISys: An early-warning system for the detection of (re-)emerging food- and feed-borne hazards. Food Research International. 43(5). 1553–1556. 40 indexed citations

10.

Atkinson, Martin & Erik van der Goot. (2009). Near real time information mining in multilingual news. 1153–1154. 44 indexed citations

11.

Balahur, Alexandra, Ralf Steinberger, Erik van der Goot, Bruno Pouliquen, & Mijail Kabadjov. (2009). Opinion Mining on Newspaper Quotations. Joint Research Centre (European Commission). 523–526. 68 indexed citations

12.

Supit, Iwan & Erik van der Goot. (1999). National wheat yield prediction of France as affected by the prediction level. Ecological Modelling. 116(2-3). 203–223. 7 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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