Carmen Vaca

583 total citations
41 papers, 292 citations indexed

About

Carmen Vaca is a scholar working on Artificial Intelligence, Transportation and Communication. According to data from OpenAlex, Carmen Vaca has authored 41 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Transportation and 11 papers in Communication. Recurrent topics in Carmen Vaca's work include Human Mobility and Location-Based Analysis (12 papers), Complex Network Analysis Techniques (10 papers) and Social Media and Politics (8 papers). Carmen Vaca is often cited by papers focused on Human Mobility and Location-Based Analysis (12 papers), Complex Network Analysis Techniques (10 papers) and Social Media and Politics (8 papers). Carmen Vaca collaborates with scholars based in Ecuador, Italy and Spain. Carmen Vaca's co-authors include Piero Fraternali, Alejandro Jaimes, Amin Mantrach, Marco Saerens, Andrea Castelletti, Rodolfo Soncini‐Sessa, Andrea Emilio Rizzoli, Marco Brambilla, Luis Terán and Luca Maria Aiello and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Environmental Modelling & Software.

In The Last Decade

Carmen Vaca

38 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmen Vaca Ecuador 9 98 67 64 51 49 41 292
Neil Ireson United Kingdom 9 118 1.2× 80 1.2× 30 0.5× 51 1.0× 46 0.9× 27 303
Gizem Korkmaz United States 12 91 0.9× 40 0.6× 86 1.3× 26 0.5× 100 2.0× 40 351
Andriana Gkaniatsou United Kingdom 3 52 0.5× 33 0.5× 178 2.8× 146 2.9× 30 0.6× 6 375
Christine Robson United States 9 68 0.7× 41 0.6× 42 0.7× 25 0.5× 14 0.3× 15 279
Chester Curme United States 8 53 0.5× 44 0.7× 86 1.3× 33 0.6× 188 3.8× 11 569
Anuj Jaiswal United States 9 170 1.7× 65 1.0× 120 1.9× 160 3.1× 110 2.2× 17 478
Scott Pezanowski United States 11 176 1.8× 50 0.7× 99 1.5× 119 2.3× 92 1.9× 23 626
Ji Lucas Qatar 4 159 1.6× 47 0.7× 132 2.1× 181 3.5× 51 1.0× 7 359
Miloš Krstajić Germany 10 124 1.3× 34 0.5× 71 1.1× 22 0.4× 86 1.8× 16 419
Bertrand De Longueville Italy 5 94 1.0× 56 0.8× 83 1.3× 113 2.2× 95 1.9× 9 475

Countries citing papers authored by Carmen Vaca

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Vaca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Vaca

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

All Works

20 of 20 papers shown
1.
Terán, Luis, et al.. (2024). Introduction to the Special Issue on Smart Government Development and Applications. Digital Government Research and Practice. 5(3). 1–9. 2 indexed citations
2.
Vaca, Carmen, et al.. (2023). Copyright Page. 1–1. 1 indexed citations
3.
Sen, Rijurekha, Daniele Quercia, Carmen Vaca, & Krishna P. Gummadi. (2021). Scalable Urban Data Collection from the Web. Proceedings of the International AAAI Conference on Web and Social Media. 10(1). 683–686. 1 indexed citations
4.
Vaca, Carmen, et al.. (2021). Estimating urban socioeconomic inequalities through airtime top-up transactions data. 2021 IEEE International Conference on Big Data (Big Data). 4265–4272. 2 indexed citations
5.
Vaca, Carmen, et al.. (2020). Seq2Seq models for recommending short text conversations. Expert Systems with Applications. 150. 113270–113270. 13 indexed citations
6.
Vaca, Carmen, et al.. (2020). Tech for Hire: Data Science-Related Jobs Signal Economic Growth. 151–156. 2 indexed citations
7.
Vaca, Carmen, et al.. (2019). CL-Aff Deep semisupervised clustering.. National Conference on Artificial Intelligence. 171–180. 1 indexed citations
8.
Vaca, Carmen, et al.. (2019). Digital Transactions Mining to Characterize Temporal Rhythms of a City. 1883. 114–119. 1 indexed citations
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Vaca, Carmen, et al.. (2018). Mining Worldwide Entrepreneurs Psycholinguistic Dimensions from Twitter. 179–186. 3 indexed citations
13.
Boratto, Ludovico, et al.. (2017). Who You Should Not Follow: Extracting Word Embeddings from Tweets to Identify Groups of Interest and Hijackers in Demonstrations. IEEE Transactions on Emerging Topics in Computing. 7(2). 206–217. 10 indexed citations
14.
Vaca, Carmen, et al.. (2017). Milano, città d' arte: Urban residents preferences clusters from tweets. 11. 210–215. 1 indexed citations
15.
Lozano-Velasco, Estefanía, et al.. (2017). Requiem for online harassers: Identifying racism from political tweets. 154–160. 7 indexed citations
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Vaca, Carmen, et al.. (2016). Characterizing influential leaders of Ecuador on Twitter using computational intelligence. 12. 159–163. 1 indexed citations
18.
Vaca, Carmen, et al.. (2016). Geo-localized social media data to improve characterization of international travelers. 126–132. 4 indexed citations
19.
Vaca, Carmen, et al.. (2015). Caracterización de líderes políticos de Ecuador en Twitter usando aprendizaje de maquina no supervisado. SHILAP Revista de lepidopterología. 28(5). 2 indexed citations
20.
Vaca, Carmen, Amin Mantrach, Alejandro Jaimes, & Marco Saerens. (2014). A time-based collective factorization for topic discovery and monitoring in news. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 527–538. 50 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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