César Vaca

563 total citations · 1 hit paper
5 papers, 376 citations indexed

About

César Vaca is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and General Health Professions. According to data from OpenAlex, César Vaca has authored 5 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Management Science and Operations Research, 2 papers in Electrical and Electronic Engineering and 1 paper in General Health Professions. Recurrent topics in César Vaca's work include Stock Market Forecasting Methods (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Energy and Environment Impacts (1 paper). César Vaca is often cited by papers focused on Stock Market Forecasting Methods (2 papers), Ferroelectric and Negative Capacitance Devices (1 paper) and Energy and Environment Impacts (1 paper). César Vaca collaborates with scholars based in Spain, Ecuador and Germany. César Vaca's co-authors include Isabel de la Torre Díez, Miguel López-Coronado, Carlos de Castro Lozano, H. García, S. Dueñas, E. Miranda, F. Campabadal, Mireia Bargalló González, Helena Castán and Daniel Villamar and has published in prestigious journals such as IEEE Transactions on Electron Devices, Energies and Neural Computing and Applications.

In The Last Decade

César Vaca

5 papers receiving 363 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cost-Utility and Cost-Effectiveness Studies of Telemedicine, Electronic, and Mobile Health Systems in the Literature: A Systematic Review

2014 352 citations Isabel de la Torre Díez, Miguel López-Coronado et al. Telemedicine Journal and e-Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
César Vaca Spain	3	179	179	52	36	33	5	376
Conceição Granja Norway	7	277 1.5×	141 0.8×	26 0.5×	24 0.7×	34 1.0×	22	550
Sara Chokshi United States	11	171 1.0×	105 0.6×	17 0.3×	41 1.1×	19 0.6×	18	447
Somayeh Hessam Iran	6	260 1.5×	97 0.5×	19 0.4×	33 0.9×	27 0.8×	23	494
Ashok Kumar Kanugula United States	4	191 1.1×	294 1.6×	143 2.8×	33 0.9×	27 0.8×	14	535
Gretchen Hultman United States	10	104 0.6×	132 0.7×	82 1.6×	29 0.8×	33 1.0×	21	350
Jonathan Linkous United States	3	136 0.8×	188 1.1×	45 0.9×	29 0.8×	48 1.5×	6	353
Zain El‐amir United States	8	194 1.1×	297 1.7×	150 2.9×	66 1.8×	27 0.8×	30	611
Donna Vogel United States	5	144 0.8×	117 0.7×	46 0.9×	46 1.3×	16 0.5×	8	311
Felix Greiner Germany	12	90 0.5×	44 0.2×	80 1.5×	61 1.7×	21 0.6×	32	379
Joshua Bolton United States	6	144 0.8×	165 0.9×	105 2.0×	29 0.8×	29 0.9×	24	302

Countries citing papers authored by César Vaca

Since Specialization

Citations

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

Fields of papers citing papers by César Vaca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of César Vaca

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

All Works

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5 of 5 papers shown

1.

Vaca, César, et al.. (2024). Interpretability of deep learning models in analysis of Spanish financial text. Neural Computing and Applications. 36(13). 7509–7527. 2 indexed citations

2.

Vaca, César, et al.. (2022). Board of Directors' Profile: A Case for Deep Learning as a Valid Methodology to Finance Research.. International Journal of Interactive Multimedia and Artificial Intelligence. 7(6). 60–68. 2 indexed citations

3.

Villamar, Daniel, et al.. (2021). Preparing the Ecuador’s Power Sector to Enable a Large-Scale Electric Land Transport. Energies. 14(18). 5728–5728. 5 indexed citations

4.

Vaca, César, Mireia Bargalló González, Helena Castán, et al.. (2016). Study From Cryogenic to High Temperatures of the High- and Low-Resistance-State Currents of ReRAM Ni–HfO₂–Si Capacitors. IEEE Transactions on Electron Devices. 63(5). 1877–1883. 15 indexed citations

5.

Díez, Isabel de la Torre, et al.. (2014). Cost-Utility and Cost-Effectiveness Studies of Telemedicine, Electronic, and Mobile Health Systems in the Literature: A Systematic Review. Telemedicine Journal and e-Health. 21(2). 81–85. 352 indexed citations breakdown →

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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